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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Exploiting Multiple Timescales in Hierarchical Echo State Networks
|
|---|---|
| Published in |
Frontiers in Applied Mathematics and Statistics, February 2021
|
| DOI | 10.3389/fams.2020.616658 |
| Authors |
Luca Manneschi, Matthew O. A. Ellis, Guido Gigante, Andrew C. Lin, Paolo Del Giudice, Eleni Vasilaki |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | 27% |
| France | 1 | 9% |
| United States | 1 | 9% |
| Unknown | 6 | 55% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 55% |
| Scientists | 5 | 45% |
Mendeley readers
The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 38 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 26% |
| Researcher | 5 | 13% |
| Student > Master | 5 | 13% |
| Student > Bachelor | 3 | 8% |
| Professor | 1 | 3% |
| Other | 3 | 8% |
| Unknown | 11 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 8 | 21% |
| Engineering | 5 | 13% |
| Physics and Astronomy | 5 | 13% |
| Neuroscience | 2 | 5% |
| Materials Science | 2 | 5% |
| Other | 3 | 8% |
| Unknown | 13 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 29 March 2021.
All research outputs
#5,392,815
of 25,387,668 outputs
Outputs from Frontiers in Applied Mathematics and Statistics
#34
of 390 outputs
Outputs of similar age
#131,146
of 454,820 outputs
Outputs of similar age from Frontiers in Applied Mathematics and Statistics
#2
of 13 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 390 research outputs from this source. They receive a mean Attention Score of 3.1. This one has done particularly well, scoring higher than 91% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 454,820 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.